In this paper,we present an improved multi-order parameter model for multi-component model of poly-crystalline solidification.We introduce an interpolation function in the phase field dynamical equation to obtain controllable grain boundary energy at large undercooling.The same interpolation function is also employed in the kinetics coefficient to allow for better control of grain boundary migration.Temperature dependent phase field parameters and noise terms are consistently coupled into the dynamics of a binary system in a manner that allows for quantitative simulations in the thin interface limit.The model is ap-plied to multi-phase solidification in Al-Cu alloy,where a parabolic fitting method is employed to model the free energy of Al-Cu phases and two-phase nucleation is demonstrated in directional solidification.

Laishan Yang;Zhibo Dong;Lei Wang;Nikolas Provatas

State Key Laboratory of Advanced Welding and Joining,Harbin Institute of Technology,Harbin 150001,China;Max-Planck-Institut fur Eisenforschung GmbH,Max-Planck-Stra?e 1,Dusseldorf,40237,Germany;Department of Physics and Centre for the Physics of Materials,McGill University,Montreal,H3A 2T8,Canada

材料科学技术（英文版）

[1]Laishan Yang;Zhibo Dong;Lei Wang;Nikolas Provatas-.Improved multi-order parameter and multi-component model of polycrystalline solidification)[J].材料科学技术（英文版）,2022(06):217-225

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